1008model

CometAve/1008model

1008model is a text classification model from CometAve. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Oct 8, 2024
Updated: Oct 8, 2024
SHA: 6500f078

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Base models

beomi/kcbert-base

Model card

From the Hugging Face model README

1008model

This model is a fine-tuned version of beomi/kcbert-base on the unsmile dataset. It achieves the following results on the evaluation set:

Loss: 0.1310
Lrap: 0.8800

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Lrap
No log	1.0	235	0.1484	0.8606
No log	2.0	470	0.1290	0.8710
0.1741	3.0	705	0.1235	0.8805
0.1741	4.0	940	0.1284	0.8778
0.0791	5.0	1175	0.1310	0.8800

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Oct 8, 2024
Updated: Oct 8, 2024